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Article

Impacts of Coping Mechanisms on Nursing Students’ Mental Health during COVID-19 Lockdown: A Cross-Sectional Survey

School of Nursing, Point Loma Nazarene University, 2600 Laning Road, San Diego, CA 92106, USA
*
Author to whom correspondence should be addressed.
Nurs. Rep. 2021, 11(1), 36-44; https://doi.org/10.3390/nursrep11010004
Submission received: 30 November 2020 / Revised: 30 December 2020 / Accepted: 5 January 2021 / Published: 12 January 2021
(This article belongs to the Special Issue Nursing and COVID-19 Ⅰ  )

Abstract

:
The COVID-19 pandemic and consequent lockdown have precipitated significant disruption in the educational system. Nursing students are known to have higher levels of stress and anxiety than other non-nursing students, but there is a dearth of evidence regarding the impacts of the COVID-19 lockdown on their mental health and coping mechanisms. Purpose: The aim of this study was to explore the influence of coping mechanisms as predictors of stress, anxiety, and depression among nursing students during the COVID-19 lockdown. Methods: A cross-sectional online survey was conducted from 20 April to 10 May 2020 among 173 nursing students at a private university in Southern California, USA. Results: Self-reported stress, anxiety, and depression were significantly higher during the lockdown compared to the pre-lockdown period (p < 0.001). Almost a quarter of participants reported high stress, while more than half reported moderate-to-severe symptoms of anxiety and depression. High resilience was negatively associated with high stress (Odds Ratio (OR) = 0.46; 95% Confidence Interval (CI) = 0.22–0.98; p = 0.045), moderate-to-severe anxiety (OR = 0.47; 95%CI = 0.25–0.90; p = 0.022), and moderate-to-severe depression (OR = 0.50; 95%CI = 0.26–0.95; p = 0.036). Similarly, high family functioning was negatively associated with high stress (OR = 0.41; 95%CI = 0.20–0.86; p = 0.018), moderate-to-severe anxiety (OR = 0.41; 95%CI = 0.21–0.80; p = 0.009), and moderate-to-severe depression (OR = 0.41; 95%CI = 0.20–0.81; p = 0.011). High spiritual support was negatively associated with moderate-to-severe depression (OR = 0.48; 95%CI = 0.24–0.95; p = 0.035). Conclusions: During the COVID-19 lockdown, nursing students experienced remarkable levels of poor mental health. High levels of resilience and family functioning were associated with 2- to 2.4-fold lower risk of stress, anxiety, and depression, whereas high spiritual support was associated with 2-fold lower risk of depression. As the pandemic evolves, fostering these coping mechanisms may help students to maintain their psychological wellbeing.

1. Introduction

The COVID-19 pandemic and subsequent mandatory lockdown to suppress transmission of the SARS-CoV-2 virus have caused significant global disruption of the educational system. According to the United Nations Educational, Scientific and Cultural Organization (UNESCO), more than a billion students globally have experienced closures of educational institutions during the pandemic [1]. In California, USA, the state governor issued a statewide mandatory stay-at-home order on 19 March 2020, resulting in the shutdown of face-to-face education for students [2]. For college students, the rapid shift from in-person to online learning, as well as concerns over educational progress and future job opportunities, contributed greatly to increased levels of stress and anxiety [3,4].
Before the pandemic, a national survey of 26,181 college students in USA reported that about a half were either diagnosed or treated for anxiety, depression, or panic attacks within the past year [5]. Nursing students experienced even higher levels of stress as they adjust to challenges of rigorous academic requirements as well as clinical demands, resulting in stress-related illnesses, depression, and sleep disturbances [6,7]. In China, the arrival of the COVID-19 pandemic has resulted in even higher levels of stress, anxiety, and depression among college students [8,9]. A study from Israel demonstrated that during the third week of COVID-19 lockdown, more than half of nursing students reported moderate-to-severe anxiety symptoms [10]. The study findings showed that female gender, concerns of academic progress, and fear of infection correlated with higher anxiety.
In addition to the immediate impact of the pandemic, previous studies of earlier coronavirus outbreaks have indicated that quarantine or lockdown can result in long-term psychological consequences [11]. Anxiety symptoms and feelings of anger remained present four to six months following quarantine during the Middle East Respiratory Syndrome (MERS) outbreak in Korea [12]. Furthermore, long-term consequences of psychological distress and burnout among nurses persisted nearly two years after the original Severe Acute Respiratory Syndrome (SARS) outbreak in Canada [13].
In managing psychological distress during epidemics, various coping mechanisms appear to be effective [14]. For example, having a support group for college students quarantined at home during the earlier SARS outbreak was found to be helpful [15]. Similarly, the presence of parental support was associated with lower anxiety among college students during the COVID-19 outbreak [16]. Spiritual support also seems to be an effective coping mechanism. College students with high spiritual support had greater personal happiness and satisfaction with life, as well as better adjustment to college life [17,18,19]. Minority college students with high spiritual support employed more problem-oriented coping behaviors, such as positive reinterpretation of adverse events, resulting in lower stress and better academic performance [20]. Resilience, another coping mechanism, refers to an individual’s ability to bounce back from adversity and effectively respond to challenges [21]. Postgraduate nursing students exhibited a higher level of resilience than undergraduate nursing students, and the resilience was a positive predictor of perceived wellbeing [22]. Resilience was also positively associated with clinical communication ability and academic success [23,24]. During the COVID-19 pandemic, high resilience among nursing students was negatively associated with anxiety [10].
The psychological wellbeing of nursing students during the pandemic is critical for their academic success, and assessment of various coping mechanisms is necessary. However, there are limited studies on various coping mechanisms that enhance overall mental health of nursing students during the pandemic [10]. The aim of this study was to explore the influence of coping mechanisms as predictors of stress, anxiety, and depression among nursing students during the COVID-19 pandemic and subsequent lockdown.

2. Methods

2.1. Design and Sample

This cross-sectional study was conducted using an online survey platform Qualtrics XM (Provo, UT, USA) during the COVID-19 pandemic lockdown. All undergraduate and graduate nursing students enrolled in the spring semester 2020 at a private university in Southern California, USA were eligible to participate in the study.

2.2. Study Questionnaire

The study survey included valid and reliable instruments that measure resilience, spiritual support, family functioning, stress, anxiety, and depression. The respondents were asked to assess their current mental health status as well as to estimate their pre-lockdown mental health. Demographic information, including age, gender, ethnicity, and nursing program enrollment, was also collected.
The Connor–Davidson Resilience Scale (CD-RISC)-10 asks respondents to assess their adaptability in challenging situations and the ability to bounce back [25]. The response options on a 5-point Likert scale range from 0 (not true at all) to 4 (true all the time). The possible maximal score is 40, with a higher score indicating higher resilience. The Cronbach’s alpha was previously reported as 0.92 and was 0.83 in this study.
The 12-item Spirituality Support Scale evaluates respondents’ perceived spiritual support from a higher power, religious faith, or beliefs on a 4-point Likert scale ranging from 1 (strongly disagree) to 4 (strongly agree) [26]. The summation scores range from 12 to 48, with a higher score indicating higher spiritual support. The Cronbach’s alpha was previously reported as 0.97 and was 0.96 in this study.
The Family APGAR questionnaire measures satisfaction with support from family members [27]. It includes five indicators of family functioning: adaptation, partnership, growth, affection, and resolve, on a 3-point Likert scale ranging from 0 (hardly ever) to 2 (almost always). Scores of 8–10 indicate a highly functional family, while scores of 4–7 and 0–3 indicate moderate and severely dysfunctional families, respectively. The inter-item correlation coefficients were reported to be 0.63 to 0.71.
The Perceived Stress Scale (PSS) assesses respondents’ perception of stress by eliciting thoughts and feelings during the past month [28]. It consists of 10 items in two subscales, including 6-item positive and 4-item negative factors on a 5-point Likert scale ranging from 0 (never) to 4 (very often). The responses of four items in the negative factor were reversed with possible total scores ranging from 0 to 40. Scores of 0–13, 14–26, and 27–40 were assessed as low, moderate, and high stress, respectively. Cronbach’s alpha was previously reported as 0.83, and was 0.85 in this study.
The General Anxiety Disorder-7 (GAD-7) and Patient Health Questionnaire-9 (PHQ-9) are widely used tools that assess the symptoms of anxiety and depression, respectively [29]. The response options range from 0 (not at all) to 3 (nearly every day). Scores ≥10 are considered moderate-to-severe anxiety or depression that potentially warrant further follow-up. The sensitivity and specificity of the GAD-7 for anxiety disorder were 72% and 80%, respectively. Similarly, the sensitivity and specificity of the PHQ-9 for the major depressive disorder were 88% and 88%, respectively.

2.3. Data Collection Procedures

The Institutional Review Board of the university approved this study (PLNU IRB ID#17877). Recruitment emails containing a hyperlink to the online survey were sent to all nursing students enrolled in the spring semester 2020. Written informed consent was waived due to minimal risk associated with participation. Students were assured that their participation in the study was confidential and voluntary. They were also reminded that participation or lack thereof would not affect their course grades or relationship with the school. Completion of the online survey indicated their consent to the study. Data were collected from 20 April to 10 May 2020, and at study closure, a $10 gift card was given to 10 randomly selected students. This study was carried out following the rules of the Declaration of Helsinki.

2.4. Data Analysis

In this study, poor mental health was defined using the symptom severity cutoff scores for high stress (PSS scores ≥ 27), moderate-to-severe anxiety (GAD-7 scores ≥ 10), and moderate-to-severe depression (PHQ-9 scores ≥ 10). Coping mechanisms were categorized into dichotomous variables using the following cutoff scores: CD-RISC-10 scores ≥ median of 29 (high resilience); Spirituality Support Scale scores ≥ median of 36 (high spiritual support); and family APGAR scores ≥ 8 (high family functioning).
Descriptive statistics summarized sample characteristics and key study variables. Wilcoxon signed-rank tests were performed to compare the median scores of high stress, moderate-to-severe anxiety, and moderate-to-severe depression before and during the lockdown. Kendall’s tau correlation procedures were performed to explore potential correlations between the dichotomous variables of poor mental health, coping mechanisms, and demographic variables. Statistically significant demographic variables and coping mechanisms were entered into multivariate logistic regression models to explore the influence of coping mechanisms as predictors of poor mental health. All statistical analyses were performed using SPSS software, version 26.0 (IBM Corporation, Armonk, NY, USA). The level of significance level was set at p-value < 0.05, and all tests were two-tailed.

3. Results

3.1. Sample Characteristics

Of 447 students invited, 173 completed the survey and were included in the statistical analysis (38.7% participation rate). The average age was 25 years old, and most were female (93.1%). More than half were white (57.8%) and pre-licensure undergraduate students (76.8%). Almost a quarter (23.1%) were registered nurses enrolled in graduate programs or a baccalaureate degree completion program. About 14 percent had worked with COVID-19 patients, while three quarters had experienced quarantine or self-isolation during the pandemic (75.7%). For coping mechanisms, the median (IQR) scores of resilience, spiritual support, and family functioning were 29 (25, 32), 36 (33, 43), and 9 (6.5, 10), respectively.

3.2. Mental Health before and during COVID-19 Lockdown

Compared with the pre-lockdown period, students reported higher stress (median [IQR]; 16 [13, 18] vs. 23 [18, 26.3]; p < 0.001), moderate-to-severe anxiety (median [IQR]; 4 [2, 8.3] vs. 10 [5, 15]; p < 0.001), and moderate-to-severe depression (median [IQR]; 3 [1, 6] vs. 10 [4, 15]; p < 0.001) during the lockdown. Similarly, more students experienced high stress (4.1% vs. 24.7%), moderate-to-severe anxiety (19.4% vs. 55.2%), and moderate-to-severe depression (12.9% vs. 51.5%) during the lockdown (Figure 1).

3.3. Predictors of Poor Mental Health

Table 1 shows bivariate Kendall’s tau correlations between coping mechanisms and poor mental health. High resilience and high family functioning were negatively correlated with high stress, moderate-to-severe anxiety, and moderate-to-severe depression (p < 0.05). Similarly, there were significant negative correlations between high spiritual support and anxiety and depression. By contrast, none of the demographic variables correlated significantly with high stress, moderate-to-severe anxiety, or moderate-to-severe depression.
The results of multivariate logistic regression procedures are shown in Table 2. High resilience was a significant predictor of lower risks of high stress (Odds Ratios (OR) = 0.46; 95% Confidence Interval (CI) = 0.22–0.98; p = 0.045), moderate-to-severe anxiety (OR = 0.47; 95%CI = 0.25–0.90; p = 0.022), and moderate-to-severe depression (OR = 0.50; 95%CI = 0.26–0.95; p = 0.036). Similarly, high family functioning was also a significant predictor of lower risks of high stress (OR = 0.41; 95%CI = 0.20–0.86; p = 0.018), moderate-to-severe anxiety (OR = 0.41; 95%CI = 0.21–0.80; p = 0.009), and moderate-to-severe depression (OR = 0.41; 95%CI = 0.20–0.81; p = 0.011). In addition, high spiritual support was a significant predictor of lower risk of depression (OR = 0.48; 95%CI = 0.24–0.95; p = 0.035).

4. Discussion

It is remarkable how much the COVID-19 lockdown has impacted the psychological wellbeing of nursing students. The proportion of students with high stress level during the lockdown jumped 6-fold compared to the pre-lockdown period, while moderate-to-severe anxiety and depression increased nearly 3–4-fold. Interestingly, psychological distress appears to be ameliorated by potentially modifiable factors, such as resilience, family functioning, and spiritual support. In multivariate analyses, high resilience and family functioning were independently associated with a 2- to 2.4-fold lower risk of high stress, moderate-to-severe anxiety, and moderate-to-severe depression. In addition, high spiritual support was also independently associated with 2-fold lower risk of moderate-to-severe depression. By contrast, demographic variables, such as age, educational background, or ethnicity, showed no correlation with poor mental health during the lockdown.
It is plausible that resilience, family functioning, and spiritual support among nursing students can be nurtured so that they can better manage unexpected challenges impacting psychological equilibrium. For example, a randomized controlled trial (RCT) of resilience training based on cognitive behavior therapy among newly licensed registered nurses showed significant decreases in stress, anxiety, and depression [30,31]. Perhaps, resilience and spiritual support are complimentary coping mechanisms. Spiritual support arises from a sense of connection to an external higher power, whereas resilience is one’s internal capacity to bounce back and adapt to stressful circumstances [32,33,34,35]. In our study, about half of the students reported moderate-to-severe anxiety and depression during the lockdown, which is consistent with a study of nursing students in Israel that reported more than half with anxiety [10]. However, other dimensions of psychological distress, such as perceived stress and depression, were not assessed in this previous study. Another study among university students and associates in Germany also showed higher levels of health anxiety during the COVID-19 pandemic compared to pre-pandemic [36]. High family function as a protective factor against poor mental health is consistent with another previous study. Among college students in China, lower anxiety symptoms were associated with living with parents during the COVID-19 pandemic [16]. Although these authors did not assess family functioning as a coping mechanism, it is likely that simply living with parents during isolation reduces symptoms of anxiety and depression among college students.

4.1. Implications for Nursing Education

The COVID-19 pandemic has caused significant disruption in education worldwide. Although most colleges have shifted to online learning, nursing schools must continue to have clinical practicums, which require students to work in close contact with patients. The concern of viral transmission and the unpredictable progression of the COVID-19 pandemic may further increase students’ uncertainty of academic advancement and affect their mental health negatively. Therefore, it is imperative for nurse educators to help students to identify and develop optimal coping strategies to minimize anxiety due to the pandemic. Providing clear guidelines for infection control will help students to feel confident about their safety and minimize stress as they work with patients. Furthermore, it is critical to provide a supportive learning environment that helps students to develop effective coping strategies [32]. For example, nursing school can develop and integrate a resilience-building program throughout the nursing curriculum to assist students in managing stress associated with academic, social, and personal challenges. Such a resilience-building program may include mindfulness-based stress reduction strategies, muscle relaxation exercise, self-care, communication skills, problem-solving skills, or study skills. These activities may be implemented via lectures, reflective journaling, experience sharing, role-playing, or homework assignments [33]. Studies have shown that such programs can help students to utilize effective coping strategies and time management, which improves mental health and academic success [33,34,35,37]. In addition, tailored resilience interventions based on needs assessment and skill-building activities may be helpful [36]. Given the need for social distancing, online platforms may also be useful for spiritual and peer support, as well as resilience training to enhance psychological wellbeing [15,38,39].

4.2. Limitations

There are several limitations to this study. Because this was a cross-sectional study, the resilience, family functioning, and spiritual support as predictors of mental health should not be taken as a cause-and-effect relationship. Such a causal relationship can be determined only through interventional studies. Second, less than 40% of the enrolled students completed the survey, which is not unusual for an online survey. However, this may have introduced a selection bias. Third, the self-reported data collection method could have over- or underestimated the symptoms of stress, anxiety, and depression. Fourth, pre-lockdown data were collected retrospectively, which may have introduced recall bias. Fifth, this study was conducted in spring 2020 during the initial wave of the COVID-19 pandemic in the US. Thereafter, the pandemic has evolved rapidly with subsequent case spikes, as well as the advent of improved treatments and vaccines. Therefore, the study findings may be most applicable to the initial phase of such pandemics. Finally, the study findings are based on a relatively small sample size from a single institution and may not be broadly generalizable. Future interventional studies are needed to confirm these study findings as well as to determine the effectiveness of fostering coping mechanisms among nursing students.

5. Conclusions

During the COVID-19 lockdown, nursing students experienced remarkable levels of poor mental health. This study showed that high resilience, family functioning, and spiritual support were predictors of lower stress, anxiety, and depression. As the pandemic evolves, fostering these coping mechanisms may help students to maintain their psychological wellbeing.

Author Contributions

Conceptualization, S.C.K., C.S., A.M., and C.Q.; methodology, S.C.K., C.S., A.M., and C.Q.; software, C.S.; validation, S.C.K.; formal analysis, S.C.K.; investigation, S.C.K., C.S., A.M., and C.Q.; resources, S.C.K.; data curation, C.S.; writing—original draft preparation, S.C.K., C.S., and A.M.; writing—review and editing, S.C.K., C.S., A.M., and C.Q.; visualization, S.C.K.; supervision, S.C.K.; project administration, S.C.K.; All authors have read and agreed to the published version of the manuscript.

Funding

This research received no external funding.

Institutional Review Board Statement

The study was conducted according to the guidelines of the Declaration of Helsinki, and approved by the Institutional Review Board of Point Loma Nazarene University (IRB ID# 17877, 20 April 2020).

Informed Consent Statement

Subject consent was waived due to no more than minimal risks involved in this online survey study.

Data Availability Statement

The data presented in this study are available on request from the corresponding author. The data are not publically available due to ethical considerations.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. United Nations Educational, Scientific and Cultural Organization (UNESCO). COVID-19 Educational Disruption and Response. 2020. Available online: https://en.unesco.org/covid19/educationresponse (accessed on 10 July 2020).
  2. Executive Department, State of California. Executive Order N-33-20. 2020. Available online: https://www.politico.com/states/f/?id=00000170-f5a4-d209-af70-fdae4c930000 (accessed on 22 June 2020).
  3. Dewart, G.; Corcoran, L.; Thirsk, L.; Petrovic, K. Nursing education in a pandemic: Academic challenges in response to COVID-19. Nurse Educ. Today 2020, 92, 104471. [Google Scholar] [CrossRef]
  4. Elmer, T.; Mepham, K.; Stadtfeld, C. Students under lockdown: Comparisons of students’ social networks and mental health before and during the COVID-19 crisis in Switzerland. PLoS ONE 2020, 15, e0236337. [Google Scholar] [CrossRef]
  5. American College Health Association. National College Health Assessment: Reference Group Executive Summary. 2018. Available online: https://www.acha.org/documents/ncha/NCHA-II_Fall_2018_Reference_Group_Executive_Summary.pdf (accessed on 7 July 2020).
  6. Bartlett, M.L.; Taylor, H.; Nelson, J.D. Comparison of mental health characteristics and stress between baccalaureate nursing students and non-nursing students. J. Nurs. Educ. 2016, 55, 87–90. [Google Scholar] [CrossRef]
  7. Chen, C.J.; Chen, Y.C.; Sung, H.C.; Hsieh, T.C.; Lee, M.S.; Chang, C.Y. The prevalence and related factors of depressive symptoms among junior college nursing students: A cross-sectional study. J. Psychiatr. Ment. Health Nurs. 2015, 22, 590–598. [Google Scholar] [CrossRef] [PubMed]
  8. Wang, C.; Pan, R.; Wan, X.; Tan, Y.; Xu, L.; Ho, C.S.; Ho, R.C. Immediate psychological responses and associated factors during the initial stage of the 2019 coronavirus disease (COVID-19) epidemic among the general population in China. Int. J. Environ. Res. Public Health. 2020, 17, 1729. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  9. Wang, C.; Zhao, H. The impact of COVID-19 on anxiety in Chinese university students. Front. Psychol. 2020, 11, 1168. [Google Scholar] [CrossRef] [PubMed]
  10. Savitsky, B.; Findling, Y.; Ereli, A.; Hendel, T. Anxiety and coping strategies among nursing students during the COVID-19 pandemic. Nurse Educ. Pract. 2020, 46, 102809. [Google Scholar] [CrossRef] [PubMed]
  11. Brooks, S.K.; Webster, R.K.; Smith, L.E.; Woodland, L.; Wessely, S.; Greenberg, N.; Rubin, G.J. The psychological impact of quarantine and how to reduce it: Rapid review of the evidence. Lancet 2020, 395, 912–920. [Google Scholar] [CrossRef] [Green Version]
  12. Jeong, H.; Yim, H.W.; Song, Y.J.; Ki, M.; Min, J.A.; Cho, J.; Chae, J.H. Mental health status of people isolated due to Middle East Respiratory Syndrome. Epidemiol. Health 2016, 38, e2016048. [Google Scholar] [CrossRef]
  13. Maunder, R.G.; Lancee, W.J.; Balderson, K.E.; Bennett, J.P.; Borgundvaag, B.; Evans, S.; Fernandes, C.M.; Goldbloom, D.S.; Gupta, M.; Hunter, J.J.; et al. Long-term psychological and occupational effects of providing hospital healthcare during SARS outbreak. Emerg. Infect. Dis. 2006, 12, 1924–1932. [Google Scholar] [CrossRef]
  14. Brooks, S.K.; Dunn, R.; Amlot, R.; Rubin, G.J.; Greenberg, N. A systematic, thematic review of social and occupational factors associated with psychological outcomes in healthcare employees during an infectious disease outbreak. J. Occup. Environ. Med. 2018, 60, 248–257. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  15. Pan, P.; Chang, S.; Yu, Y. A support group for home-quarantined college students exposed to SARS: Learning from practice. J. Spec. Group Work 2006, 30, 363–374. [Google Scholar] [CrossRef]
  16. Cao, W.; Fang, Z.; Hou, G.; Han, M.; Xu, X.; Dong, J.; Zheng, J. The psychological impact of the COVID-19 epidemic on college students in China. Psychiatry Res. 2020, 287, 112934. [Google Scholar] [CrossRef] [PubMed]
  17. Francis, L.J.; Ok, U.; Robbins, M. Religion and happiness: A study among university students in Turkey. J. Relig. Health 2017, 56, 1335–1347. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  18. Ross, K.; Handal, P.J.; Clark, E.M.; Vander Wal, J.S. The relationship between religion and religious coping: Religious coping as a moderator between religion and adjustment. J. Relig. Health 2009, 48, 454–467. [Google Scholar] [CrossRef] [PubMed]
  19. Bryan, J.L.; Lucas, S.; Quist, M.C.; Steers, M.N.; Foster, D.W.; Young, C.M.; Lu, Q. God, can I tell you something? The effect of religious coping on the relationship between anxiety over emotional expression, anxiety, and depressive symptoms. Psychol. Relig. Spirit. 2016, 8, 46–53. [Google Scholar] [CrossRef] [Green Version]
  20. Greer, T.M.; Brown, P. Minority status and coping processes among African American college students. J. Divers. High. Educ. 2011, 4, 26–38. [Google Scholar] [CrossRef]
  21. Cleary, M.; Visentin, D.; West, S.; Lopez, V.; Kornhaber, R. Promoting emotional intelligence and resilience in undergraduate nursing students: An integrative review. Nurse Educ. Today 2018, 68, 112–120. [Google Scholar] [CrossRef]
  22. Chow, K.M.; Tang, W.K.F.; Chan, W.H.C.; Sit, W.H.J.; Choi, K.C.; Chan, S. Resilience and well-being of university nursing students in Hong Kong: A cross-sectional study. BMC Med. Educ. 2018, 18, 13. [Google Scholar] [CrossRef] [Green Version]
  23. Kong, L.; Liu, Y.; Li, G.; Fang, Y.; Kang, X.; Li, P. Resilience moderates the relationship between emotional intelligence and clinical communication ability among Chinese practice nursing students: A structural equation model analysis. Nurse Educ. Today 2016, 46, 64–68. [Google Scholar] [CrossRef]
  24. Slatyer, S.; Cramer, J.; Pugh, J.D.; Twigg, D.E. Barriers and enablers to retention of Aboriginal diploma of nursing students in Western Australia: An exploratory descriptive study. Nurse Educ. Today 2016, 42, 17–22. [Google Scholar] [CrossRef] [PubMed]
  25. Connor, K.M.; Davidson, J.R.T. Development of a new resilience scale: The Connor-Davidson Resilience Scale (CD-RISC). Depress. Anxiety 2003, 18, 76–82. [Google Scholar] [CrossRef] [PubMed]
  26. Ai, A.L.; Tice, T.N.; Peterson, C.; Huang, B. Prayers, spiritual support, and positive attitudes in coping with the September 11 national crisis. J. Personal. 2005, 73, 763–791. [Google Scholar] [CrossRef] [PubMed]
  27. Smilkstein, G.; Ashworth, C.; Montano, D. Validity and reliability of the family APGAR as a test of family function. J. Fam. Pract. 1982, 15, 303–311. [Google Scholar] [PubMed]
  28. Cohen, S.; Kamarck, T.; Mermelstein, R. A global measure of perceived stress. J. Health Soc. Behav. 1983, 24, 385–396. [Google Scholar] [CrossRef]
  29. Spitzer, R.L.; Kroenke, K.; Williams, J.B.; Lowe, B. A brief measure for assessing generalized anxiety disorder: The GAD-7. Arch. Intern. Med. 2006, 166, 1092–1097. [Google Scholar] [CrossRef] [Green Version]
  30. Sampson, M.; Melnyk, B.M.; Hoying, J. Intervention effects of the MINDBODYSTRONG cognitive behavioral skills building program on newly licensed registered nurses’ mental health, healthy lifestyle behaviors, and job satisfaction. J. Nurs. Adm. 2019, 49, 487–495. [Google Scholar] [CrossRef]
  31. Sampson, M.; Melnyk, B.M.; Hoying, J. The MINDBODYSTRONG intervention for new nurse residents: 6-month effects on mental health outcomes, healthy lifestyle behaviors, and job satisfaction. Worldviews Evid. Based Nurs. 2020, 17, 16–23. [Google Scholar] [CrossRef]
  32. Huang, L.; Xu, F.; Liu, H. Emotional responses and coping strategies of nurses and nursing college students during COVID-19 outbreak. MedRxiv 2020. [Google Scholar] [CrossRef]
  33. Boardman, L. Building resilience in nursing students: Implementing techniques to foster success. Int. J. Emerg. Ment. Health Hum. Resil. 2016, 18, 1–5. [Google Scholar]
  34. Rios-Risquez, M.I.; Garcia-Izquierdo, M.; Sabuco-Tebar, E.L.; Carrillo-Garcia, C.; Martinez-Roche, M.E. An exploratory study of the relationship between resilience, academic burnout and psychological health in nursing students. Contemp. Nurse 2016, 52, 430–439. [Google Scholar] [CrossRef]
  35. Onan, N.; Karaca, S.; Unsal Barlas, G. Evaluation of a stress coping course for psychological resilience among a group of university nursing students. Perspect. Psychiatr. Care 2019, 55, 233–238. [Google Scholar] [CrossRef] [PubMed]
  36. Sauer, K.S.; Jungmann, S.M.; Witthöft, M. Emotional and behavioral consequences of the COVID-19 pandemic: The role of health anxiety, intolerance of uncertainty, and distress (in)tolerance. Int. J. Environ. Res. Public Health 2020, 17, 7241. [Google Scholar] [CrossRef] [PubMed]
  37. Lanz, J.J. Evidence-based resilience interventions for nursing students: A randomized controlled pilot trial. Int. J. Appl. Posit. Psychol. 2020, 5, 217–230. [Google Scholar] [CrossRef]
  38. Ho, C.S.; Chee, C.Y.; Ho, R.C. Mental health strategies to combat the psychological impact of COVID-19 beyond paranoia and panic. Ann. Acad. Med. Singap. 2020, 49, 155–160. [Google Scholar] [CrossRef] [PubMed]
  39. Joyce, S.; Shand, F.; Lal, T.J.; Mott, B.; Bryant, R.A.; Harvey, S.B. Resilience@Work mindfulness program: Results from a cluster randomized controlled trial with first responders. J. Med. Internet Res. 2019, 21, e12894. [Google Scholar] [CrossRef]
Figure 1. Poor mental health status before and during COVID-19 lockdown (N = 173). Black bars and white bars represent the poor mental health status before and during the COVID-19 lockdown, respectively. High stress = Perceived Stress Scale scores ≥ 27; moderate-to-severe anxiety = GAD-7 scores ≥ 10; moderate-to-severe depression = PHQ-9 scores ≥ 10.
Figure 1. Poor mental health status before and during COVID-19 lockdown (N = 173). Black bars and white bars represent the poor mental health status before and during the COVID-19 lockdown, respectively. High stress = Perceived Stress Scale scores ≥ 27; moderate-to-severe anxiety = GAD-7 scores ≥ 10; moderate-to-severe depression = PHQ-9 scores ≥ 10.
Nursrep 11 00004 g001
Table 1. Correlations with poor mental health during COVID-19 lockdown (N = 173).
Table 1. Correlations with poor mental health during COVID-19 lockdown (N = 173).
High
Stress (r)
Moderate-to-Severe
Anxiety (r)
Moderate-to-Severe
Depression (r)
Age−0.07−0.14−0.09
Female0.090.010.03
Pre-licensure undergraduate students0.110.020.06
Quarantine or self-isolation experience0.100.06−0.03
High resilience a−0.20 *−0.22 **−0.23 **
High family functioning b−0.22 **−0.24 **−0.28 ***
High spiritual support c−0.08−0.21 *−0.24 **
* p < 0.05; ** p < 0.01; *** p < 0.001 by Kendall’s Tau test. High stress = Perceived Stress Scale scores ≥ 27; moderate-to-severe anxiety = GAD-7 scores ≥ 10; moderate-to-severe depression = PHQ-9 scores ≥ 10. a CD-RISC-10 scores ≥ 29; b Family APGAR scores ≥ 8; c Spirituality Support Scale scores ≥ 36.
Table 2. Predictors of poor mental health during COVID-19 lockdown (N = 173).
Table 2. Predictors of poor mental health during COVID-19 lockdown (N = 173).
OR95%CIp-Value
High stress
High resilience a0.460.22–0.980.045
High family functioning b0.410.20–0.860.018
Moderate-to-severe anxiety
High resilience a0.470.25–0.900.022
High family functioning b0.410.21–0.800.009
Moderate-to-severe depression
High resilience a0.500.26–0.950.036
High family functioning b0.410.20–0.810.011
High spiritual support c0.480.24–0.950.035
OR = odds ratio; CI = confidence interval. High stress = Perceived Stress Scale scores ≥ 27; moderate-to-severe anxiety = GAD-7 scores ≥ 10; moderate-to-severe depression = PHQ-9 scores ≥ 10; a CD-RISC-10 scores ≥ 29; b Family APGAR scores ≥ 8; c Spirituality Support Scale scores ≥ 36.
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Kim, S.C.; Sloan, C.; Montejano, A.; Quiban, C. Impacts of Coping Mechanisms on Nursing Students’ Mental Health during COVID-19 Lockdown: A Cross-Sectional Survey. Nurs. Rep. 2021, 11, 36-44. https://doi.org/10.3390/nursrep11010004

AMA Style

Kim SC, Sloan C, Montejano A, Quiban C. Impacts of Coping Mechanisms on Nursing Students’ Mental Health during COVID-19 Lockdown: A Cross-Sectional Survey. Nursing Reports. 2021; 11(1):36-44. https://doi.org/10.3390/nursrep11010004

Chicago/Turabian Style

Kim, Son Chae, Christine Sloan, Anna Montejano, and Carlota Quiban. 2021. "Impacts of Coping Mechanisms on Nursing Students’ Mental Health during COVID-19 Lockdown: A Cross-Sectional Survey" Nursing Reports 11, no. 1: 36-44. https://doi.org/10.3390/nursrep11010004

APA Style

Kim, S. C., Sloan, C., Montejano, A., & Quiban, C. (2021). Impacts of Coping Mechanisms on Nursing Students’ Mental Health during COVID-19 Lockdown: A Cross-Sectional Survey. Nursing Reports, 11(1), 36-44. https://doi.org/10.3390/nursrep11010004

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